Journal article

Development of a Mobile Clinical Prediction Tool to Estimate Future Depression Severity and Guide Treatment in Primary Care: User-Centered Design

Caroline Wachtler, Amy Coe, Sandra Davidson, Susan Fletcher, Antonette Mendoza, Leon Sterling, Jane Gunn

JMIR MHEALTH AND UHEALTH | JMIR PUBLICATIONS, INC | Published : 2018

Abstract

BACKGROUND: Around the world, depression is both under- and overtreated. The diamond clinical prediction tool was developed to assist with appropriate treatment allocation by estimating the 3-month prognosis among people with current depressive symptoms. Delivering clinical prediction tools in a way that will enhance their uptake in routine clinical practice remains challenging; however, mobile apps show promise in this respect. To increase the likelihood that an app-delivered clinical prediction tool can be successfully incorporated into clinical practice, it is important to involve end users in the app design process. OBJECTIVE: The aim of the study was to maximize patient engagement in an..

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Awarded by National Health and Medical Research Council (NHMRC)


Awarded by NHMRC


Funding Acknowledgements

The data used to develop the diamond clinical prediction tool was collected as a part of the diamond project which is funded by the National Health and Medical Research Council (NHMRC; ID: 299869, 454463, 566511, 1002908). Development testing of the diamond app was also supported by NHMRC (ID 1059863). The authors would like to acknowledge the 30 dedicated GPs, their patients, and practice staff for making the diamond study possible. They thank the cohort participants for their ongoing involvement in the study. They also acknowledge the focus group and interview participants that participated in the development of the app.